May 5, 2023 · This work presents an efficient algorithmic approach for designing optimal experimental design schemes for Bayesian inverse problems such that ...

May 5, 2023 · This work presents an efficient algorithmic approach for designing optimal experimental design schemes for Bayesian inverse problems such that ...

Abstract: Optimal data acquisition, for inverse problems, can be modeled as an optimal experimental design (OED) problem, which has gained wide popularity ...

Bayesian Experimental Design (BED) is a robust model-based framework for optimising experiments but faces significant computational barriers, especially in ...

May 25, 2021 · Simple but very robust algorithms. Backed ... Alexanderian, Optimal experimental design for infinite-dimensional Bayesian inverse problems.

We present a review of methods for optimal experimental design (OED) for Bayesian inverse problems governed by partial differential equations.

This work presents a general formulation of the OED formalism for model-constrained large-scale Bayesian linear inverse problems, where measurement errors ...

We address the problem of optimal experimental design (OED) for Bayesian nonlinear inverse problems governed by partial differential equations (PDEs).

Abstract. We present a review of methods for optimal experimental design (OED) for Bayesian inverse problems governed by partial differential equations with ...

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